Naive Bayes Entrapment Detection for Planetary Rovers
This addresses entrapment risks for planetary rovers, but appears incremental as it applies an existing method to a specific domain.
The study tackled rover entrapment detection by formally defining criteria and proposing a Naive Bayes classifier, with results from experiments on AutoKralwer rovers.
Entrapment detection is a prerequisite for planetary rovers to perform autonomous rescue procedure. In this study, rover entrapment and approximated entrapment criteria are formally defined. Entrapment detection using Naive Bayes classifiers is proposed and discussed along with results from experiments where the Naive Bayes entrapment detector is applied to AutoKralwer rovers. And final conclusions and further discussions are presented in the final section.